Towards Data Science

MAY 7, 2024

A list to make evaluating ELT/ETL tools a bit less daunting Photo by Volodymyr Hryshchenko on Unsplash We’ve all been there: you’ve attended (many!) meetings with sales reps from all of the SaaS data integration tooling companies and are granted 14 day access to try their wares.

ETL Tools 77

ETL Tools Metadata Data Integration Data Science 77

Towards Data Science

NOVEMBER 4, 2023

") Apache Airflow , for example, is not an ETL tool per se but it helps to organize our ETL pipelines into a nice visualization of dependency graphs (DAGs) to describe the relationships between tasks. Typical Airflow architecture includes a schduler based on metadata, executors, workers and tasks.

Data Engineering 79

Data Engineering Data Engineer Engineering BI 79

ProjectPro

OCTOBER 28, 2015

Apache Sqoop and Apache Flume are two popular open source etl tools for hadoop that help organizations overcome the challenges encountered in data ingestion. Table of Contents Hadoop ETL tools: Sqoop vs Flume-Comparison of the two Best Data Ingestion Tools What is Sqoop in Hadoop?

ETL Tools 52

ETL Tools Hadoop Relational Database Unstructured Data 52

Maxime Beauchemin

JANUARY 20, 2017

The fact that ETL tools evolved to expose graphical interfaces seems like a detour in the history of data processing, and would certainly make for an interesting blog post of its own. Let’s highlight the fact that the abstractions exposed by traditional ETL tools are off-target.

Data Engineering 130

Data Engineering Data Engineer Engineering ETL Tools 130

Towards Data Science

JUNE 16, 2023

Identifying your business-critical dashboards Looker exposes metadata about content usage in pre-built Explores that you can enrich with your own data to make it more useful. How to keep your critical data model definitions updated Automate as much as possible around tagging your critical data models. Source: synq.io Source: synq.io

BI 73

BI Data ETL Tools Machine Learning 73

ProjectPro

JANUARY 24, 2023

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. What is the process for adding metadata to the AWS Glue Data Catalog? PREVIOUS NEXT <

AWS 52

AWS Data Lake ETL Tools Scala 52

Monte Carlo

SEPTEMBER 12, 2022

Now, according to Maxime, a new trend is emerging that could have a similar effect on data engineering workloads: reverse ETL. Reverse ETL tooling enables companies to easily move transformed data from their cloud warehouse out into operational business tools, like a CRM.

BI 52

BI Data Governance ETL Tools Data Warehouse 52